Despite intensified recycling efforts, global material consumption has more than tripled over the past five decades, while the global circularity rate has declined. This widening gap reveals that incremental improvements are insufficient and that a transition toward circular economy must be structural. This transition is constrained by fragmented data ecosystems, limited transparency among stakeholders, and conventional digital twin architectures that struggle to represent the dynamic, multi-loop nature of circular supply networks. To address these challenges, this position paper discusses a conceptual Federated Digital Twin framework that integrates federated system architectures to protect data sovereignty, intelligent agents to enable real-time negotiation and synchronization, and knowledge graphs to ensure semantic interoperability across distributed actors. The framework serves as a decision-support backbone for circular manufacturing, aiming for a coordinated management and systemic coherence of value-retention strategies and production planning for circular supply chains.

This paper introduces a domain-specific modelling language (DSML) called DSML4JaCaMo to develop belief-desireintention (BDI) agents.The DSML's design covers aspects of Jason, Cartago, and Moise from viewpoints that follow the metamodelling approach.In this way, the DSML4JaCaMo enables graphical modelling of JaCaMo's multi-agent systems (MASs), providing comprehensive support for defining agents' beliefs, desires, and intentions (BDI) using Jason, specifying artifacts and their operations with Cartago, and outlining organizational structures and norms via Moise.The DSML's operational semantics ensure seamless integration of these components, facilitating automatic code generation and artifact construction for creating a JaCaMo-based system.The graphical syntax contributes to ease of use, making it accessible for novice and experienced developers.This work aims to enhance the JaCaMo ecosystem by offering a model-driven approach to provide abstraction on MAS development as well as facilitating design and implementation.

To cope with the challenges of constructing Cyberphysical Production Systems (CPPS), many studies propose benefiting from agent systems.However, industrial processes should be mostly emulated while agent-based solutions are integrating with CPPS since it is not always possible to apply cyber-based solutions to these systems directly.The target system can be miniaturised while sustaining its functionality.Hence, in this paper, we introduce an agent-based industrial production line and discuss the system development using Lego technology while providing integration of software agents as well as focusing on low-level requirements.In this way, a CPPS is emulated while agents control the system.

Compliance monitoring and surveillance is an important task in hospitals and health centers as the health-care associated infections can have serious consequences such as increasing mortality and accelerating morbidity. Monitoring and surveillance by human observers have its own difficulties such as loss of observer concentration, human error build-up, and professional deformation. In this work, we have implemented and compared the performance of two Internet of Things based approaches for monitoring the hand hygiene of medical staff during patient visiting. We used ESP modules as base stations and smart-phones as mobile nodes and estimated the distances using Bluetooth RSSI values to locate the medical staff in a patient's room. In the proximity-based solution, we compared the RSSI from a mobile node measured on different ESP nodes/modules and utilized the assumption stating that the mobile node is closest to an ESP node which yields the highest RSSI value. In the trilateration based approach, we used the RSSI values to estimate the distance of mobile nodes to each ESP node and we used a trilateration algorithm to locate the mobile node in the room. Our experiments showed that the proximity-based solution recorded 20% incorrect location visiting while the percentage for the trilateration based solution was 8%. This indicates that the trilateration based approach is more reliable than the proximity-based solution in this application domain.